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The Decoder· Matthias Bastian·· 3 days agoSame event78

Google joins the decision-model wave with Gemini Decision 1, scoring 1,000 questions in a single pass

Google joins the decision-model wave with Gemini Decision 1, scoring 1,000 questions in a single pass

Brief overview

Google DeepMind launches Gemini Decisions API, targeting yes/no, multiple choice, and scale scoring for closed-form judgments. The underlying model, Gemini Decision 1, can handle up to 1000 independent questions at once, covering text, images, audio, video, and PDF.

Same story — featured version shown《Google launches Gemini Decisions API and Gemini Decision 1 model》

Same story6 other outlets also reported this

  1. Google AI Blog··First

    Google launches Gemini Decisions API and Gemini Decision 1 model

  2. The Decoder··+2 h 13 min·Reading now

    Google launches Gemini Decision 1 and Gemini Decisions API, capable of processing 1000 issues at a time

    Adds:context window of 1M; API at $2.00 per million input tokens

  3. MarkTechPost··+3 h 22 min

    Google has released the Gemini Decisions API and Gemini Decision 1, priced at $0.10 per million tokens.

  4. Simon Willison··+4 h 3 min

    Google releases Gemini Decisions API

    Adds:output free

  5. 36Kr · AI··+5 h 34 min

    Google launches Gemini Decisions API, charges $0.10 per million input tokens.

  6. ITHome · AI··+6 h 56 min

    Google launches Gemini Decisions API for rapid multimodal decision-making, based on the Gemini Decision 1 model

  7. Latent Space··+11 h 27 min

    Google releases Gemini Decision 1 production decision model

In order of publication · later reports are added as they appear · Compared by AI from each outlet’s title and summary

Article

Google Deepmind is introducing the Gemini Decisions API, an interface built for fast, closed-ended decisions like yes/no questions, multiple choice, and scale-based ratings. The underlying model, Gemini Decision 1, processes up to 1,000 independent questions in a single pass across text, images, audio, video, and PDFs. It scores options directly and returns probabilities with confidence values in 150 to 250 milliseconds. Google says it already uses the API internally for dynamic model routing in Gemini Notebook, design prototyping in Stitch, and safety checks in Google Search.

Gemini Decision 1 evaluates a photo of a kitchen counter in a single pass using all three question types: yes/no stain detection (confidence 0.95), selection of the appropriate cleaning action (98 percent), and severity rating on a scale (1.19 out of 2). | Image: Google

The API costs $0.10 per million input tokens with no output-token charge, about five times cheaper than Gemini 3.5 Flash-Lite according to Google. It's available now through Google AI Studio, with integrations for OpenRouter, LangChain, Vercel, and other platforms rolling out.

Gemini Decision 1 leads the benchmark suite in categories like agent routing, reasoning, and multimodal understanding while achieving the lowest calibration error (Top-1 ECE). | Image: Google

Similar models have been popping up in recent weeks. After the startup Jev introduced its version, OpenAI, Cloudflare, and Microsoft quickly followed with similar offerings.

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Source: The Decoder · the-decoder.com

Google / GeminiReasoningMultimodalModel releases#Model releases#Reasoning#Multimodal#Google